hypothesis

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prediction:three-criteria-for-consciousness-capable-substrates-hybrid-computation-scale-inseparability-with-metabolic-embedding-dynamico-structural-co-determination

Three criteria for consciousness-capable substrates: hybrid computation, scale-inseparability with metabolic embedding, dynamico-structural co-determination.

Proposed necessary conditions for any substrate (biological or artificial) to support consciousness; integrates discrete-continuous, multiscale, and adaptive properties.

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Concepts (3)

concept

Hybrid Discrete-Continuous Computation
gates
Brains perform simultaneous discrete operations (spikes) and continuous operations (graded potentials, fields) that co-determine each other; distinguishes biological from digital substrates.
Scale Inseparability
gates
Central tenet: biological computation is fundamentally non-modular; molecular, cellular, and population scales bidirectionally co-determine each other without privileged level.
Metabolic Embedding and Constraint
gates
Energy scarcity drives brain's computational architecture; multiscale integration emerges as metabolic optimization strategy; absent in current AI systems.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

We hypothesize that general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, and that successful implementation can be established via analysis or testing.hypothesis0.829
The central hypothesis of the paper
Consciousness features occur substrate-neutrally across brains, unconventional embodiments, and information-processing systems.claim0.819
Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.819
Core theoretical claim connecting consciousness to biological learning
We take our principal contributions in this report to be: 1. Showing that the assessment of consciousness in AI is scientifically tractable ... 2. Proposing a rubric for assessing consciousness in AI ... 3. Providing initial evidence that many of the indicator properties can be implemented in AI systems using current techniques ...quote0.812
Summary of contributions.
Are consciousness-relevant properties substrate-independent?question0.811
The operations and functional principles of most contemporary theories of consciousness are not confined to neural substrates.finding0.811
Primary empirical result from comparative analysis of major consciousness theories.
Most theories of consciousness are already substrate-neutral; neurocentric readings are convention, not content commitment.claim0.810
General computational machines with sufficient resources possess the necessary and sufficient means to implement consciousnesshypothesis0.807
CIMC's central testable hypothesis grounding the entire research program

Cross-corpus bridges (12)

same_concept_as · Nomic cosine

External markdown files that talk about the same concept as this entity.

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What is the relationship between consciousness and cognitive capability across different substrates and scales?questions/what-is-the-relationship-between-consciousness-and-cognitive.md0.848
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Is consciousness substrate-independent and multiply realizable across different physical and biological systems?questions/is-consciousness-substrateindependent-and-multiply-realizable-across-different.md0.843
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Can cognitive functions including sentience be implemented by very different biological substrates?questions/can-cognitive-functions-including-sentience-be-implemented-by.md0.839
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How does consciousness relate to scale, embodiment, and diverse physical substrates?questions/how-does-consciousness-relate-to-scale-embodiment-and.md0.838
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What are the substrate-independent computational principles enabling cognition across chemical, genetic, bioelectric, neural, ecological and social networks?questions/what-are-the-substrateindependent-computational-principles-enabling-cognition.md0.838
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What are the physical constraints imposed by different substrates on the types of computation and cognition possible?questions/what-are-the-physical-constraints-imposed-by-different.md0.825
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Can hybrid biological-digital systems achieve forms of consciousness and caring that neither substrate could achieve alone?questions/can-hybrid-biologicaldigital-systems-achieve-forms-of-consciousness.md0.819
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Why should functional or structural criteria be associated with subjective feeling and consciousness?questions/why-should-functional-or-structural-criteria-be-associated.md0.815
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What is the relationship between the physical substrate and cognitive capability across different scales of biological organization?questions/what-is-the-relationship-between-the-physical-substrate.md0.812
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What is necessary and sufficient for consciousness to exist?questions/what-is-necessary-and-sufficient-for-consciousness-to.md0.796
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How can the ancient binding problem be resolved through multiscale architecture rather than a privileged integration site?questions/how-can-the-ancient-binding-problem-be-resolved.md0.784
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What principles determine which scale and mechanism is the highest-leverage point for intervention in complex biological systems?questions/what-principles-determine-which-scale-and-mechanism-is.md0.783